Arnau Oliver

Arnau Oliver

Universidad de Gerona

H-index: 45

Europe-Spain

About Arnau Oliver

Arnau Oliver, With an exceptional h-index of 45 and a recent h-index of 34 (since 2020), a distinguished researcher at Universidad de Gerona, specializes in the field of Medical Image Computing, Medical Image Analysis, Computer-Aided Diagnosis.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge

An End-to-End Deep Learning Framework for Predicting Hematoma Expansion in Hemorrhagic Stroke Patients from CT Images

Strategies to combine 3D vasculature and brain CTA with deep neural networks: Application to LVO

Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry

Motion-region annotation for complex videos via label propagation across occluders

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

Global and Regional Deep Learning Models for Multiple Sclerosis Stratification From MRI

Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI

Arnau Oliver Information

University

Position

___

Citations(all)

9079

Citations(since 2020)

5425

Cited By

5738

hIndex(all)

45

hIndex(since 2020)

34

i10Index(all)

105

i10Index(since 2020)

58

Email

University Profile Page

Universidad de Gerona

Google Scholar

View Google Scholar Profile

Arnau Oliver Skills & Research Interests

Medical Image Computing

Medical Image Analysis

Computer-Aided Diagnosis

Top articles of Arnau Oliver

Title

Journal

Author(s)

Publication Date

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge

arXiv preprint arXiv:2403.19425

Ezequiel de la Rosa

Mauricio Reyes

Sook-Lei Liew

Alexandre Hutton

Roland Wiest

...

2024/3/28

An End-to-End Deep Learning Framework for Predicting Hematoma Expansion in Hemorrhagic Stroke Patients from CT Images

Applied Sciences

Valeriia Abramova

Arnau Oliver

Joaquim Salvi

Mikel Terceño

Yolanda Silva

...

2024/3/23

Strategies to combine 3D vasculature and brain CTA with deep neural networks: Application to LVO

Iscience

Uma M Lal-Trehan Estrada

Arnau Oliver

Sunil A Sheth

Xavier Lladó

Luca Giancardo

2024/2/16

Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry

Computerized Medical Imaging and Graphics

Albert Clèrigues

Sergi Valverde

Joaquim Salvi

Arnau Oliver

Xavier Lladó

2023/1/1

Motion-region annotation for complex videos via label propagation across occluders

Machine vision and applications

Muhammad Habib Mahmood

Yago Diéz

Arnau Oliver

Joaquim Salvi

Xavier Lladó

2023/1

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

arXiv preprint arXiv:2312.17670

Kaiyuan Yang

Fabio Musio

Yihui Ma

Norman Juchler

Johannes C Paetzold

...

2023/12/29

Global and Regional Deep Learning Models for Multiple Sclerosis Stratification From MRI

Journal of Magnetic Resonance Imaging

Llucia Coll

Deborah Pareto

Pere Carbonell‐Mirabent

Álvaro Cobo‐Calvo

Georgina Arrambide

...

2023/10/6

Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI

Llucia Coll Benejam

Deborah Pareto Onghena

Pere Carbonell i Mirabent

Alvaro Cobo Calvo

Georgina Arrambide García

...

2023

Assessment of automatic decision-support systems for detecting active T2 lesions in multiple sclerosis patients

Multiple Sclerosis Journal

Alex Rovira

Juan Francisco Corral

Cristina Auger

Sergi Valverde

Angela Vidal-Jordana

...

2022/7

Usefulness of Collaborative Work in the Evaluation of Prostate Cancer from MRI

Clinics and practice

Christian Mata

Paul Walker

Arnau Oliver

Joan Martí

Alain Lalande

2022/5/20

Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach

Frontiers in Neuroscience

Mostafa Salem

Marwa Ahmed Ryan

Arnau Oliver

Khaled Fathy Hussain

Xavier Lladó

2022/11/24

Deep learning for medical imaging

Jose Bernal

Kaisar Kushibar

Albert Clèrigues

Arnau Oliver

Xavier Lladó

2022

Evaluating the use of synthetic t1-w images in new t2 lesion detection in multiple sclerosis

Frontiers in Neuroscience

Liliana Valencia

Albert Clèrigues

Sergi Valverde

Mostafa Salem

Arnau Oliver

...

2022/9/29

QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results

The journal of machine learning for biomedical imaging

Raghav Mehta

Angelos Filos

Ujjwal Baid

Chiharu Sako

Richard McKinley

...

2022/8

Simultaneous pectoral muscle and nipple location in MLO mammograms, considering image quality assumptions

E García

R Martí

J Martí

J del Riego

C Aynes

...

2022/7/13

Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks

Computerized Medical Imaging and Graphics

Valeriia Abramova

Albert Clerigues

Ana Quiles

Deysi Garcia Figueredo

Yolanda Silva

...

2021/6/1

Transductive transfer learning for domain adaptation in brain magnetic resonance image segmentation

Frontiers in Neuroscience

Kaisar Kushibar

Mostafa Salem

Sergi Valverde

Àlex Rovira

Joaquim Salvi

...

2021/4/29

Evaluating the Effect of Intensity Standardisation on Longitudinal Whole Brain Atrophy Quantification in Brain Magnetic Resonance Imaging

Applied Sciences

Emily E Carvajal-Camelo

Jose Bernal

Arnau Oliver

Xavier Lladó

María Trujillo

...

2021/2/17

MSDetector: A fully convolutional neural network for the detection of new T2-w lesion in multiple sclerosis

MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure

Mostafa Salem

Arnau Oliver

Joaquim Salvi

Xavier Lladó

2021

Generating longitudinal atrophy evaluation datasets on brain magnetic resonance images using convolutional neural networks and segmentation priors

Neuroinformatics

Jose Bernal

Sergi Valverde

Kaisar Kushibar

Mariano Cabezas

Arnau Oliver

...

2021/7

See List of Professors in Arnau Oliver University(Universidad de Gerona)

Co-Authors

H-index: 53
Fabrice Meriaudeau

Fabrice Meriaudeau

Université de Bourgogne

H-index: 47
Xavier Llado

Xavier Llado

Universidad de Gerona

H-index: 42
Joaquim Salvi (ORCID: 0000-0002-9482-7126)

Joaquim Salvi (ORCID: 0000-0002-9482-7126)

Universidad de Gerona

H-index: 38
Reyer Zwiggelaar

Reyer Zwiggelaar

Aberystwyth University

H-index: 36
Jordi Freixenet

Jordi Freixenet

Universidad de Gerona

H-index: 34
Robert Martí Marly (ORCID 0000-0002-8080-2710)

Robert Martí Marly (ORCID 0000-0002-8080-2710)

Universidad de Gerona

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